AI (AI) software sales could skyrocket 580%: 2 AI stocks buy now (hint: not Palantir)

Applications of AI


  • Morgan Stanley expects revenue from artificial intelligence (AI) software to increase by 580% over the next three years.

  • Mongodb's is a leader in database management systems, and its document-oriented databases are suitable for AI application development.

  • OKTA is a leader in identity and access management, and the company recently introduced threat protection tools powered by AI.

  • 10 shares I like more than mongodb

Artificial intelligence (AI) is quickly woven into everyday life. According to Goldman Sachs9.2% of US companies currently use AI to produce products and services. This is twice the percentage of technology used at the same time last year. However, the market is still in its early stages.

Morgan Stanley AI software revenues will increase by 580% over the next three years, exceeding $400 billion in 2028. Palantir The stock price is under a sharp valuation as it is in a good position to make a profit. Investors should consider such a more reasonable priced stock mongodb (NASDAQ: MDB) and Octa (NASDAQ: OKTA).

Please see details.

Digital screen showing the face of a chatbot.
Image source: Getty Images.

Databases are used to store, manage and retrieve application data. MongoDB's document database handles structured and unstructured data. This distinguishes itself from traditional relational databases designed solely for structured data. For more details, structured data fits nicely into rows and columns, but not unstructured data (images, videos, text, etc.)

The flexibility of the document model means that MongoDB is particularly suitable for content management systems, e-commerce platforms, and artificial intelligence (AI) applications. Earlier this year, Mongodb resorted to AI opportunities by acquiring Voyage AI, a company that develops embedded and re-ranking models that improve the accuracy of AI applications.

CEO Dev Ittycheria told analysts: “When AI redefines how applications are built and how businesses operate, MongoDB is positioned very well. Real-world applications need high quality, context-rich, and often unstructured data to provide reliable output.”

MongoDB's document model is also suitable for real-time analytics applications. It is often used to personalize customer experiences across the Internet. consulting Gartner Recently, I ranked Mongodb as a leader in database management systems, mentioning support for artificial intelligence and real-time analytics.

MongoDB shares are currently trading at 49 times their adjusted earnings. It's not cheap, but this rating is reasonable for companies that have increased 96% in revenue adjusted in the most recent quarter. Additionally, stocks trade with 7.4 times sales, with a material discount of up to an average of 9.5 times sales per year and an average of 13.4 times sales over three years.



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